Cancer without a map: Navigating cancer of unknown primary through molecular profiling

Konrad Tałasiewicz1, Michał Mikuła2, Aleksandra Kapała3

  • 1Department of Oncology Diagnostics and Palliative Medicine, Maria Sklodowska-Curie National Research Institute of Oncology in Warsaw, Poland (MSCI), Poland.

Insights

Molecular profiling aids in diagnosing rare cancers of unknown primary (CUP) by identifying tissue of origin and actionable alterations. This approach guides personalized therapies, improving patient survival and treatment options beyond traditional chemotherapy.

Area of Science:

  • Oncology
  • Genomics
  • Personalized Medicine

Background:

  • Cancer of unknown primary (CUP) represents a heterogeneous group of rare metastatic cancers lacking a clear origin.
  • Accurate diagnosis and targeted treatment are challenging in CUP management.

Purpose of the Study:

  • To review the role of molecular profiling in improving diagnostic accuracy for CUP.
  • To assess the impact of molecular data on predicting treatment response and guiding therapy selection.
  • To synthesize evidence on tissue-of-origin (TOO) prediction, targeted therapy, and immunotherapy in CUP.

Main Methods:

  • Literature search of PubMed, Scopus, and Web of Science.
  • Synthesis of findings from clinical trials, meta-analyses, and cohort studies.
  • Focus on multi-omics analyses (genomics, transcriptomics, proteomics, epigenomics) for TOO determination and alteration detection.

Main Results:

  • Molecular profiling enhances tissue-of-origin determination and identifies actionable DNA alterations (e.g., MSI-high, TMB-high, BRAFV600E, NTRK, RET fusions).
  • Tissue-of-origin directed therapy shows variable survival benefits; integration with clinicopathological data improves outcomes.
  • Comprehensive genomic profiling facilitates targeted therapies and immunotherapy in selected CUP subgroups.

Conclusions:

  • Molecular profiling is crucial for diagnostic clarification and individualized treatment in CUP.
  • Molecularly guided therapy, combined with clinicopathological data, improves survival and expands treatment options.
  • Future research should focus on optimizing biomarker strategies and standardizing predictive assays for CUP management.

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